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The Deep-Time Digital Earth program: data-driven discovery in geosciencesCurrent barriers hindering data-driven discoveries in deep-time Earth (DE) include: substantial volumes of DE data are not digitized; many DE databases do not adhere to FAIR (findable, accessible, interoperable and reusable) principles; we lack a systematic knowledge graph for DE; existing DE databases are geographically heterogeneous; a significant fraction of DE data is not in open-access formats; tailored tools are needed. These challenges motivate the Deep-Time Digital Earth (DDE) program initiated by the International Union of Geological Sciences and developed in cooperation with national geological surveys, professional associations, academic institutions and scientists around the world. DDE’s mission is to build on previous research to develop a systematic DE knowledge graph, a FAIR data infrastructure that links existing databases and makes dark data visible, and tailored tools for DE data, which are universally accessible. DDE aims to harmonize DE data, share global geoscience knowledge and facilitate data-driven discovery in the understanding of Earth’s evolution.
Document ID
20230002109
Acquisition Source
2230 Support
Document Type
Accepted Manuscript (Version with final changes)
Authors
Chengshan Wang
(China University of Geosciences Beijing, China)
Robert M. Hazen
(Carnegie Institution for Science Washington D.C., District of Columbia, United States)
Qiuming Cheng
(China University of Geosciences Beijing, China)
Michael H. Stephenson
(British Geological Survey Nottingham, United Kingdom)
Chenghu Zhou
(Chinese Academy of Sciences Beijing, Beijing, China)
Peter Fox
(Rensselaer Polytechnic Institute Troy, New York, United States)
Shu-zhong Shen
(Nanjing University of Science and Technology Nanjing, China)
Roland Oberhansli
(University of Potsdam Potsdam, Germany)
Zengqian Hou
(Chinese Academy of Geological Sciences Beijing, China)
Xiaogang Ma
(University of Idaho Moscow, Idaho, United States)
Zhiqiang Feng
(etroleum Exploration and Production Research Institute)
Junxuan Fan
(Nanjing University of Science and Technology Nanjing, China)
Chao Ma
(University of Idaho Moscow, Idaho, United States)
Xiumian Hu
(Nanjing University of Science and Technology Nanjing, China)
Bin Luo
(Chinese Academy of Sciences Beijing, Beijing, China)
Juanle Wang
(Chinese Academy of Sciences Beijing, Beijing, China)
Craig M. Schiffries
(DDE Center of Excellence)
Date Acquired
February 14, 2023
Publication Date
February 11, 2021
Publication Information
Publication: National Science Review
Publisher: Oxford University Press
Volume: 8
Issue: 9
Issue Publication Date: February 11, 2021
ISSN: 2095-5138
e-ISSN: 2053-714X
Subject Category
Geosciences (General)
Funding Number(s)
CONTRACT_GRANT: 80NSSC18M0093
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
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